The task databricksDeployScripts@0 is used to deploy scripts (notebooks, Python files, etc.) from a local repository (like Azure DevOps) to a Databricks workspace. It is part of an extension from Data Thirst Ltd., which is now quite old and doesn’t support the newer Unity Catalog feature in Databricks.

Alternatives

There are a few alternatives you can use to deploy scripts to Databricks:

1. Databricks CLI: The Databricks command-line interface (CLI) provides a powerful way to automate tasks within Databricks, including script deployment. You can incorporate it into your CI/CD pipeline to upload files directly.
2. Azure DevOps for Databricks (Microsoft DevLabs): This extension from Microsoft DevLabs can also help with deploying notebooks and other scripts to Databricks using the Databricks CLI.
3. Databricks Repos: If you want a more integrated version control solution within Databricks, you can use Databricks Repos. It allows you to manage your code (notebooks, etc.) directly within Databricks, and you can use feature branches and pull requests for code promotion.

Example: Using Databricks CLI in Azure DevOps

Here’s a basic example of how you can use Databricks CLI in an Azure DevOps pipeline:

1. Install Databricks CLI: Add a task in your pipeline to install the Databricks CLI using the following command: pip install databricks-cli
2. Configure Databricks CLI: In a subsequent task, use the following command to configure the Databricks CLI with your workspace URL and personal access token (stored as a secret variable in your pipeline):
   
   Bash

   databricks configure --token
   

3. Deploy Scripts: Add a Command Line Script task and use Databricks CLI commands to copy your scripts from the repository to your desired location in the Databricks workspace. For example:
   
   Bash

   databricks workspace cp -r $(Build.ArtifactStagingDirectory)/MyScripts /Shared/MyScripts
   

Remember to replace placeholders with your actual values (workspace URL, token, etc.).

Important Note: If you are using Unity Catalog in Databricks, be aware that the databricksDeployScripts@0 task and some older tools might not work correctly. It is recommended to use the Databricks CLI or other modern solutions that are compatible with Unity Catalog.